By Etienne Wenger
Contributor note: ahead through John Seely Brown & James Greeno
Publish yr note: First released in 1987
Artificial Intelligence and Tutoring Systems, the 1st entire reference textual content during this dynamic quarter, surveys examine because the early Seventies and assesses the cutting-edge. Adopting the viewpoint of the conversation of information, the writer addresses sensible concerns all in favour of designing tutorial structures in addition to theoretical questions raised through investigating computational tools of data conversation.
Weaving jointly the targets, contributions, and engaging demanding situations of clever tutoring method improvement, this well timed ebook comes in handy as a textual content in classes on clever tutoring platforms or computer-aided guideline, an creation for rookies to the sector, or as a reference for researchers and practitioners.
Read or Download Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge PDF
Best artificial intelligence books
This publication is a suite of writings by means of lively researchers within the box of synthetic common Intelligence, on issues of important significance within the box. each one bankruptcy makes a speciality of one theoretical challenge, proposes a singular answer, and is written in sufficiently non-technical language to be comprehensible through complex undergraduates or scientists in allied fields.
Algorithms more and more run our lives. They locate books, videos, jobs, and dates for us, deal with our investments, and notice new medications. progressively more, those algorithms paintings through studying from the paths of information we depart in our newly electronic global. Like curious youngsters, they detect us, imitate, and test.
Jason is an Open resource interpreter for a longer model of AgentSpeak – a logic-based agent-oriented programming language – written in Java™. It permits clients to construct complicated multi-agent structures which are in a position to working in environments formerly thought of too unpredictable for pcs to deal with.
This article bargains an extension to the conventional Kripke semantics for non-classical logics via including the suggestion of reactivity. Reactive Kripke versions swap their accessibility relation as we development within the evaluate means of formulation within the version. this option makes the reactive Kripke semantics strictly more suitable and extra acceptable than the normal one.
Additional resources for Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge
In fact, we will see that ITS research is still far from the ideal goal of a system capable of entirely autonomous pedagogical reasoning, purely on the basis of primitive principles, in domain knowledge as well as in pedagogical expertise. Whether this goal can be fully reached at all, or how soon, or to what extent it is desirable, are still matters of speculation reflecting the state of the entire field of artificial intelligence. Nevertheless, the difference is crucial. In particular, transferring the expertise as opposed to the decisions of experts creates the possibility that systems make decisions not anticipated by these experts, whose knowledge has been handed over in a "raw" state to be used by au tonomous processes.
At that time Quillian (1968) was developing his notion of semantic networks as a general structure for knowledge representation, and Carbonell was apparently quite thrilled by the idea. He mentions his belief that semantic networks are an accurate model of the way people store and access information.
Otherwise, teaching goals can only be expressed in terms either of exercises to go through, with the hope that knowledge will be acquired in the process, or of thresholds on a grading scale for measuring the student's performance. Aspects of communicability Mere expertise will not usually be sufficient to support pedagogical decisions. Unlike performance, the communication process is organized around learning: that is, around the successful integration of new material and new experiences into the student's existing body of knowledge.